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<li class="navelem"><a class="el" href="namespacecutlass.html">cutlass</a></li><li class="navelem"><a class="el" href="namespacecutlass_1_1layout.html">layout</a></li><li class="navelem"><a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCongruous_3_0132_00_01Crosswise_01_4.html">TensorOpMultiplicandCongruous&lt; 32, Crosswise &gt;</a></li>  </ul>
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<div class="title">cutlass::layout::TensorOpMultiplicandCongruous&lt; 32, Crosswise &gt; Struct Template Reference</div>  </div>
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<p><code>#include &lt;<a class="el" href="tensor__op__multiplicand__sm75_8h_source.html">tensor_op_multiplicand_sm75.h</a>&gt;</code></p>
<table class="memberdecls">
<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-types"></a>
Public Types</h2></td></tr>
<tr class="memitem:adfba7bb7c28bfb734201bac9ca0d2bd0"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCongruous_3_0132_00_01Crosswise_01_4.html#adfba7bb7c28bfb734201bac9ca0d2bd0">Index</a> = int32_t</td></tr>
<tr class="memdesc:adfba7bb7c28bfb734201bac9ca0d2bd0"><td class="mdescLeft">&#160;</td><td class="mdescRight">Index type used for coordinates.  <a href="#adfba7bb7c28bfb734201bac9ca0d2bd0">More...</a><br /></td></tr>
<tr class="separator:adfba7bb7c28bfb734201bac9ca0d2bd0"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a8873becf0049da7289f853021e3beec3"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCongruous_3_0132_00_01Crosswise_01_4.html#a8873becf0049da7289f853021e3beec3">LongIndex</a> = int64_t</td></tr>
<tr class="memdesc:a8873becf0049da7289f853021e3beec3"><td class="mdescLeft">&#160;</td><td class="mdescRight">Long index type used for offsets.  <a href="#a8873becf0049da7289f853021e3beec3">More...</a><br /></td></tr>
<tr class="separator:a8873becf0049da7289f853021e3beec3"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a2149a77af698eb1bbf7042054a06be4e"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCongruous_3_0132_00_01Crosswise_01_4.html#a2149a77af698eb1bbf7042054a06be4e">TensorCoord</a> = <a class="el" href="structcutlass_1_1layout_1_1PitchLinearCoord.html">PitchLinearCoord</a></td></tr>
<tr class="memdesc:a2149a77af698eb1bbf7042054a06be4e"><td class="mdescLeft">&#160;</td><td class="mdescRight">Logical coordinate.  <a href="#a2149a77af698eb1bbf7042054a06be4e">More...</a><br /></td></tr>
<tr class="separator:a2149a77af698eb1bbf7042054a06be4e"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a59fad8f0cbc0f3edb84604c54f843755"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCongruous_3_0132_00_01Crosswise_01_4.html#a59fad8f0cbc0f3edb84604c54f843755">Stride</a> = <a class="el" href="structcutlass_1_1Coord.html">Coord</a>&lt; <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCongruous_3_0132_00_01Crosswise_01_4.html#a942daade1d67cf023fa8e7a98055d7e6">kStrideRank</a>, <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCongruous_3_0132_00_01Crosswise_01_4.html#adfba7bb7c28bfb734201bac9ca0d2bd0">Index</a>, <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCongruous_3_0132_00_01Crosswise_01_4.html#a8873becf0049da7289f853021e3beec3">LongIndex</a> &gt;</td></tr>
<tr class="memdesc:a59fad8f0cbc0f3edb84604c54f843755"><td class="mdescLeft">&#160;</td><td class="mdescRight">Stride vector.  <a href="#a59fad8f0cbc0f3edb84604c54f843755">More...</a><br /></td></tr>
<tr class="separator:a59fad8f0cbc0f3edb84604c54f843755"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a1ed59cbdce1bac0bc6ea8ea3dd1c1e8c"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCongruous_3_0132_00_01Crosswise_01_4.html#a1ed59cbdce1bac0bc6ea8ea3dd1c1e8c">TileShape</a> = <a class="el" href="structcutlass_1_1layout_1_1PitchLinearShape.html">PitchLinearShape</a>&lt; 8, 4 &gt;</td></tr>
<tr class="memdesc:a1ed59cbdce1bac0bc6ea8ea3dd1c1e8c"><td class="mdescLeft">&#160;</td><td class="mdescRight">Fundamental tile shape in units of vectors.  <a href="#a1ed59cbdce1bac0bc6ea8ea3dd1c1e8c">More...</a><br /></td></tr>
<tr class="separator:a1ed59cbdce1bac0bc6ea8ea3dd1c1e8c"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ae1dfd7c1955567ade7e136b779fda2e7"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCongruous_3_0132_00_01Crosswise_01_4.html#ae1dfd7c1955567ade7e136b779fda2e7">PartitionShape</a> = <a class="el" href="structcutlass_1_1layout_1_1PitchLinearShape.html">PitchLinearShape</a>&lt; 8, 4 &gt;</td></tr>
<tr class="memdesc:ae1dfd7c1955567ade7e136b779fda2e7"><td class="mdescLeft">&#160;</td><td class="mdescRight">Partitionshape is the same as TileShape for this layout.  <a href="#ae1dfd7c1955567ade7e136b779fda2e7">More...</a><br /></td></tr>
<tr class="separator:ae1dfd7c1955567ade7e136b779fda2e7"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a10feb79f61f6dec862da9541baa37425"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCongruous_3_0132_00_01Crosswise_01_4.html#a10feb79f61f6dec862da9541baa37425">PartitionCount</a> = <a class="el" href="structcutlass_1_1layout_1_1PitchLinearShape.html">PitchLinearShape</a>&lt; TileShape::kContiguous/PartitionShape::kContiguous, TileShape::kStrided/PartitionShape::kStrided &gt;</td></tr>
<tr class="separator:a10feb79f61f6dec862da9541baa37425"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ac6876a070bf8f7805a70a4b9f41493a7"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCongruous_3_0132_00_01Crosswise_01_4.html#ac6876a070bf8f7805a70a4b9f41493a7">AccessCount</a> = <a class="el" href="structcutlass_1_1layout_1_1PitchLinearShape.html">PitchLinearShape</a>&lt; PartitionShape::kContiguous, PartitionShape::kStrided &gt;</td></tr>
<tr class="separator:ac6876a070bf8f7805a70a4b9f41493a7"><td class="memSeparator" colspan="2">&#160;</td></tr>
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<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-methods"></a>
Public Member Functions</h2></td></tr>
<tr class="memitem:acb38ed15663b5dfc87d071e18ca29682"><td class="memItemLeft" align="right" valign="top"><a class="el" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCongruous_3_0132_00_01Crosswise_01_4.html#acb38ed15663b5dfc87d071e18ca29682">TensorOpMultiplicandCongruous</a> (<a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCongruous_3_0132_00_01Crosswise_01_4.html#adfba7bb7c28bfb734201bac9ca0d2bd0">Index</a> ldm=0)</td></tr>
<tr class="memdesc:acb38ed15663b5dfc87d071e18ca29682"><td class="mdescLeft">&#160;</td><td class="mdescRight">Ctor.  <a href="#acb38ed15663b5dfc87d071e18ca29682">More...</a><br /></td></tr>
<tr class="separator:acb38ed15663b5dfc87d071e18ca29682"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a91245dbf28b2768acf9aa3d77ba20ee1"><td class="memItemLeft" align="right" valign="top"><a class="el" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCongruous_3_0132_00_01Crosswise_01_4.html#a91245dbf28b2768acf9aa3d77ba20ee1">TensorOpMultiplicandCongruous</a> (<a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCongruous_3_0132_00_01Crosswise_01_4.html#a59fad8f0cbc0f3edb84604c54f843755">Stride</a> <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCongruous_3_0132_00_01Crosswise_01_4.html#a842b22d0cb0974b95aa9d9b05d90524e">stride</a>)</td></tr>
<tr class="memdesc:a91245dbf28b2768acf9aa3d77ba20ee1"><td class="mdescLeft">&#160;</td><td class="mdescRight">Ctor.  <a href="#a91245dbf28b2768acf9aa3d77ba20ee1">More...</a><br /></td></tr>
<tr class="separator:a91245dbf28b2768acf9aa3d77ba20ee1"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a3881a944fbeeda82884adfd5853f7577"><td class="memItemLeft" align="right" valign="top"><a class="el" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a> <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCongruous_3_0132_00_01Crosswise_01_4.html#a8873becf0049da7289f853021e3beec3">LongIndex</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCongruous_3_0132_00_01Crosswise_01_4.html#a3881a944fbeeda82884adfd5853f7577">operator()</a> (<a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCongruous_3_0132_00_01Crosswise_01_4.html#a2149a77af698eb1bbf7042054a06be4e">TensorCoord</a> const &amp;coord) const </td></tr>
<tr class="separator:a3881a944fbeeda82884adfd5853f7577"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a842b22d0cb0974b95aa9d9b05d90524e"><td class="memItemLeft" align="right" valign="top"><a class="el" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a> <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCongruous_3_0132_00_01Crosswise_01_4.html#a59fad8f0cbc0f3edb84604c54f843755">Stride</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCongruous_3_0132_00_01Crosswise_01_4.html#a842b22d0cb0974b95aa9d9b05d90524e">stride</a> () const </td></tr>
<tr class="memdesc:a842b22d0cb0974b95aa9d9b05d90524e"><td class="mdescLeft">&#160;</td><td class="mdescRight">Returns the stride of the layout.  <a href="#a842b22d0cb0974b95aa9d9b05d90524e">More...</a><br /></td></tr>
<tr class="separator:a842b22d0cb0974b95aa9d9b05d90524e"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a659ba11b4c1dc1d06005e160feb13d4b"><td class="memItemLeft" align="right" valign="top"><a class="el" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a> <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCongruous_3_0132_00_01Crosswise_01_4.html#a59fad8f0cbc0f3edb84604c54f843755">Stride</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCongruous_3_0132_00_01Crosswise_01_4.html#a659ba11b4c1dc1d06005e160feb13d4b">stride</a> ()</td></tr>
<tr class="memdesc:a659ba11b4c1dc1d06005e160feb13d4b"><td class="mdescLeft">&#160;</td><td class="mdescRight">Returns the stride of the layout.  <a href="#a659ba11b4c1dc1d06005e160feb13d4b">More...</a><br /></td></tr>
<tr class="separator:a659ba11b4c1dc1d06005e160feb13d4b"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a8580ab6b5c31b815c9ff4d146cbec442"><td class="memItemLeft" align="right" valign="top"><a class="el" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a> <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCongruous_3_0132_00_01Crosswise_01_4.html#a8873becf0049da7289f853021e3beec3">LongIndex</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCongruous_3_0132_00_01Crosswise_01_4.html#a8580ab6b5c31b815c9ff4d146cbec442">capacity</a> (<a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCongruous_3_0132_00_01Crosswise_01_4.html#a2149a77af698eb1bbf7042054a06be4e">TensorCoord</a> const &amp;extent) const </td></tr>
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<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-static-methods"></a>
Static Public Member Functions</h2></td></tr>
<tr class="memitem:aafa9812d3c82b30b2d416738c586bfe0"><td class="memItemLeft" align="right" valign="top">static <a class="el" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a> <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCongruous.html">TensorOpMultiplicandCongruous</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCongruous_3_0132_00_01Crosswise_01_4.html#aafa9812d3c82b30b2d416738c586bfe0">packed</a> (<a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCongruous_3_0132_00_01Crosswise_01_4.html#a2149a77af698eb1bbf7042054a06be4e">TensorCoord</a> const &amp;extent)</td></tr>
<tr class="memdesc:aafa9812d3c82b30b2d416738c586bfe0"><td class="mdescLeft">&#160;</td><td class="mdescRight">Helper returns a layout to a tightly packed tensor.  <a href="#aafa9812d3c82b30b2d416738c586bfe0">More...</a><br /></td></tr>
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Static Public Attributes</h2></td></tr>
<tr class="memitem:a037912b3f87ab25000802e091470c348"><td class="memItemLeft" align="right" valign="top">static int const&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCongruous_3_0132_00_01Crosswise_01_4.html#a037912b3f87ab25000802e091470c348">kRank</a> = 2</td></tr>
<tr class="memdesc:a037912b3f87ab25000802e091470c348"><td class="mdescLeft">&#160;</td><td class="mdescRight">Logical rank of tensor.  <a href="#a037912b3f87ab25000802e091470c348">More...</a><br /></td></tr>
<tr class="separator:a037912b3f87ab25000802e091470c348"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a942daade1d67cf023fa8e7a98055d7e6"><td class="memItemLeft" align="right" valign="top">static int const&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCongruous_3_0132_00_01Crosswise_01_4.html#a942daade1d67cf023fa8e7a98055d7e6">kStrideRank</a> = 1</td></tr>
<tr class="memdesc:a942daade1d67cf023fa8e7a98055d7e6"><td class="mdescLeft">&#160;</td><td class="mdescRight">Rank of stride vector.  <a href="#a942daade1d67cf023fa8e7a98055d7e6">More...</a><br /></td></tr>
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<tr class="memitem:a2b38596d9f461583bbb6c8129acc24e3"><td class="memItemLeft" align="right" valign="top">static int const&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCongruous_3_0132_00_01Crosswise_01_4.html#a2b38596d9f461583bbb6c8129acc24e3">kAccessSize</a> = 128</td></tr>
<tr class="memdesc:a2b38596d9f461583bbb6c8129acc24e3"><td class="mdescLeft">&#160;</td><td class="mdescRight">This layout is optimized for 128b accesses.  <a href="#a2b38596d9f461583bbb6c8129acc24e3">More...</a><br /></td></tr>
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<tr class="memitem:a075ffc6df8fc96d549ef16cd61ab11e4"><td class="memItemLeft" align="right" valign="top">static int const&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCongruous_3_0132_00_01Crosswise_01_4.html#a075ffc6df8fc96d549ef16cd61ab11e4">kElementSize</a> = 32</td></tr>
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<tr class="memitem:a4349d6c8b646e4537f7bd43982d07ffd"><td class="memItemLeft" align="right" valign="top">static int const&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCongruous_3_0132_00_01Crosswise_01_4.html#a4349d6c8b646e4537f7bd43982d07ffd">kElementsPerAccess</a> = <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCongruous_3_0132_00_01Crosswise_01_4.html#a2b38596d9f461583bbb6c8129acc24e3">kAccessSize</a> / <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCongruous_3_0132_00_01Crosswise_01_4.html#a075ffc6df8fc96d549ef16cd61ab11e4">kElementSize</a></td></tr>
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<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
<div class="textblock"><h3>template&lt;int Crosswise&gt;<br />
struct cutlass::layout::TensorOpMultiplicandCongruous&lt; 32, Crosswise &gt;</h3>

<p>Template based on element size (in bits) - defined in terms of pitch-linear memory and Crosswise size (in elements). </p>
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          <td class="memname">using <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCongruous.html">cutlass::layout::TensorOpMultiplicandCongruous</a>&lt; 32, Crosswise &gt;::<a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCongruous_3_0132_00_01Crosswise_01_4.html#ac6876a070bf8f7805a70a4b9f41493a7">AccessCount</a> =  <a class="el" href="structcutlass_1_1layout_1_1PitchLinearShape.html">PitchLinearShape</a>&lt;PartitionShape::kContiguous, PartitionShape::kStrided&gt;</td>
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          <td class="memname">using <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCongruous.html">cutlass::layout::TensorOpMultiplicandCongruous</a>&lt; 32, Crosswise &gt;::<a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCongruous_3_0132_00_01Crosswise_01_4.html#adfba7bb7c28bfb734201bac9ca0d2bd0">Index</a> =  int32_t</td>
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          <td class="memname">using <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCongruous.html">cutlass::layout::TensorOpMultiplicandCongruous</a>&lt; 32, Crosswise &gt;::<a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCongruous_3_0132_00_01Crosswise_01_4.html#a8873becf0049da7289f853021e3beec3">LongIndex</a> =  int64_t</td>
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template&lt;int Crosswise&gt; </div>
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          <td class="memname">using <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCongruous.html">cutlass::layout::TensorOpMultiplicandCongruous</a>&lt; 32, Crosswise &gt;::<a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCongruous_3_0132_00_01Crosswise_01_4.html#a10feb79f61f6dec862da9541baa37425">PartitionCount</a> =  <a class="el" href="structcutlass_1_1layout_1_1PitchLinearShape.html">PitchLinearShape</a>&lt;TileShape::kContiguous / PartitionShape::kContiguous, TileShape::kStrided / PartitionShape::kStrided&gt;</td>
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template&lt;int Crosswise&gt; </div>
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          <td class="memname">using <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCongruous.html">cutlass::layout::TensorOpMultiplicandCongruous</a>&lt; 32, Crosswise &gt;::<a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCongruous_3_0132_00_01Crosswise_01_4.html#ae1dfd7c1955567ade7e136b779fda2e7">PartitionShape</a> =  <a class="el" href="structcutlass_1_1layout_1_1PitchLinearShape.html">PitchLinearShape</a>&lt;8, 4&gt;</td>
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template&lt;int Crosswise&gt; </div>
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          <td class="memname">using <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCongruous.html">cutlass::layout::TensorOpMultiplicandCongruous</a>&lt; 32, Crosswise &gt;::<a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCongruous_3_0132_00_01Crosswise_01_4.html#a59fad8f0cbc0f3edb84604c54f843755">Stride</a> =  <a class="el" href="structcutlass_1_1Coord.html">Coord</a>&lt;<a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCongruous_3_0132_00_01Crosswise_01_4.html#a942daade1d67cf023fa8e7a98055d7e6">kStrideRank</a>, <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCongruous_3_0132_00_01Crosswise_01_4.html#adfba7bb7c28bfb734201bac9ca0d2bd0">Index</a>, <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCongruous_3_0132_00_01Crosswise_01_4.html#a8873becf0049da7289f853021e3beec3">LongIndex</a>&gt;</td>
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          <td class="memname">using <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCongruous.html">cutlass::layout::TensorOpMultiplicandCongruous</a>&lt; 32, Crosswise &gt;::<a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCongruous_3_0132_00_01Crosswise_01_4.html#a2149a77af698eb1bbf7042054a06be4e">TensorCoord</a> =  <a class="el" href="structcutlass_1_1layout_1_1PitchLinearCoord.html">PitchLinearCoord</a></td>
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          <td class="memname">using <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCongruous.html">cutlass::layout::TensorOpMultiplicandCongruous</a>&lt; 32, Crosswise &gt;::<a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCongruous_3_0132_00_01Crosswise_01_4.html#a1ed59cbdce1bac0bc6ea8ea3dd1c1e8c">TileShape</a> =  <a class="el" href="structcutlass_1_1layout_1_1PitchLinearShape.html">PitchLinearShape</a>&lt;8, 4&gt;</td>
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<p>Compute the number of contiguous elements needed to store a tensor with the given size </p>

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<p>Returns the offset of a coordinate in linear memory. Assumes coordinate has convention (contiguous, strided) </p>

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          <td class="memname">int const <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCongruous.html">cutlass::layout::TensorOpMultiplicandCongruous</a>&lt; 32, Crosswise &gt;::kAccessSize = 128</td>
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          <td class="memname">int const <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCongruous.html">cutlass::layout::TensorOpMultiplicandCongruous</a>&lt; 32, Crosswise &gt;::kElementsPerAccess = <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCongruous_3_0132_00_01Crosswise_01_4.html#a2b38596d9f461583bbb6c8129acc24e3">kAccessSize</a> / <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCongruous_3_0132_00_01Crosswise_01_4.html#a075ffc6df8fc96d549ef16cd61ab11e4">kElementSize</a></td>
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template&lt;int Crosswise&gt; </div>
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          <td class="memname">int const <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCongruous.html">cutlass::layout::TensorOpMultiplicandCongruous</a>&lt; 32, Crosswise &gt;::kRank = 2</td>
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template&lt;int Crosswise&gt; </div>
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          <td class="memname">int const <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCongruous.html">cutlass::layout::TensorOpMultiplicandCongruous</a>&lt; 32, Crosswise &gt;::kStrideRank = 1</td>
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<hr/>The documentation for this struct was generated from the following file:<ul>
<li><a class="el" href="tensor__op__multiplicand__sm75_8h_source.html">tensor_op_multiplicand_sm75.h</a></li>
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